Cited by 12Information Retrieval and Search BehaviorRecommender Systems and TechniquesInformation Retrieval and Data Mining

Enhancement of information seeking using an information needs radar model

Shih, Cho-Wei, Chen, Ming-Yen, Chu, Hui-Chuan, Chen, Yuh-Min·2012·Information Processing & Management

Integrity signals

Registry

Crossref · 10.1016/j.ipm.2011.08.010

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Information seeking is easier when user needs are considered in the information architecture.

    “Specifically, information seeking is easier when user needs are considered in the information architecture [60], suggesting the guidelines could be designed as roleoriented.”

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Authors
Shih, C.-W., Chen, M.-Y., Chu, H.-C., & Chen, Y.-M.
Affiliations
  • National Cheng Kung University (TW)
  • Industrial Technology Research Institute (TW)
  • National University of Tainan (TW)
Venue
Information Processing & Management
Publisher
Elsevier BV
Published
2012-05
Volume
48
Issue
3
Pages
524-536
ISSN
  • 0020-0271 (ISSN-L)
  • 0306-4573
OpenAlex
W1992049268
Cited by
12
References
39
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2016: 1 · 2015: 1 · 2013: 2 · 2012: 1
FWCI
2.76
Type
journal article
Language
en
Open access
closed
Locations
Information Processing & Management (publishedVersion)
Funders
National Science Council
Topics
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Data Mining
Keywords
information seeking, information needs, information filtering, recommender systems, expert systems, user loyalty

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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